Articles | Volume 19, issue 2
https://doi.org/10.5194/nhess-19-325-2019
https://doi.org/10.5194/nhess-19-325-2019
Brief communication
 | 
07 Feb 2019
Brief communication |  | 07 Feb 2019

Brief communication: Remotely piloted aircraft systems for rapid emergency response: road exposure to rockfall in Villanova di Accumoli (central Italy)

Michele Santangelo, Massimiliano Alvioli, Marco Baldo, Mauro Cardinali, Daniele Giordan, Fausto Guzzetti, Ivan Marchesini, and Paola Reichenbach

Related authors

Geomorphological landslide inventory map of the Daunia Apennines, southern Italy
Francesca Ardizzone, Francesco Bucci, Mauro Cardinali, Federica Fiorucci, Luca Pisano, Michele Santangelo, and Veronica Zumpano
Earth Syst. Sci. Data, 15, 753–767, https://doi.org/10.5194/essd-15-753-2023,https://doi.org/10.5194/essd-15-753-2023, 2023
Short summary
A new digital lithological map of Italy at the 1:100 000 scale for geomechanical modelling
Francesco Bucci, Michele Santangelo, Lorenzo Fongo, Massimiliano Alvioli, Mauro Cardinali, Laura Melelli, and Ivan Marchesini
Earth Syst. Sci. Data, 14, 4129–4151, https://doi.org/10.5194/essd-14-4129-2022,https://doi.org/10.5194/essd-14-4129-2022, 2022
Short summary
LANDSLIDE EVOLUTION PATTERN REVEALED BY MULTI-TEMPORAL DSMS OBTAINED FROM HISTORICAL AERIAL IMAGES
M. Santangelo, L. Zhang, E. Rupnik, M. P. Deseilligny, and M. Cardinali
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1085–1092, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1085-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1085-2022, 2022
Criteria for the optimal selection of remote sensing optical images to map event landslides
Federica Fiorucci, Daniele Giordan, Michele Santangelo, Furio Dutto, Mauro Rossi, and Fausto Guzzetti
Nat. Hazards Earth Syst. Sci., 18, 405–417, https://doi.org/10.5194/nhess-18-405-2018,https://doi.org/10.5194/nhess-18-405-2018, 2018
Short summary
An approach to reduce mapping errors in the production of landslide inventory maps
M. Santangelo, I. Marchesini, F. Bucci, M. Cardinali, F. Fiorucci, and F. Guzzetti
Nat. Hazards Earth Syst. Sci., 15, 2111–2126, https://doi.org/10.5194/nhess-15-2111-2015,https://doi.org/10.5194/nhess-15-2111-2015, 2015
Short summary

Related subject area

Landslides and Debris Flows Hazards
InSAR-informed in situ monitoring for deep-seated landslides: insights from El Forn (Andorra)
Rachael Lau, Carolina Seguí, Tyler Waterman, Nathaniel Chaney, and Manolis Veveakis
Nat. Hazards Earth Syst. Sci., 24, 3651–3661, https://doi.org/10.5194/nhess-24-3651-2024,https://doi.org/10.5194/nhess-24-3651-2024, 2024
Short summary
A coupled hydrological and hydrodynamic modeling approach for estimating rainfall thresholds of debris-flow occurrence
Zhen Lei Wei, Yue Quan Shang, Qiu Hua Liang, and Xi Lin Xia
Nat. Hazards Earth Syst. Sci., 24, 3357–3379, https://doi.org/10.5194/nhess-24-3357-2024,https://doi.org/10.5194/nhess-24-3357-2024, 2024
Short summary
More than one landslide per road kilometer – surveying and modeling mass movements along the Rishikesh–Joshimath (NH-7) highway, Uttarakhand, India
Jürgen Mey, Ravi Kumar Guntu, Alexander Plakias, Igo Silva de Almeida, and Wolfgang Schwanghart
Nat. Hazards Earth Syst. Sci., 24, 3207–3223, https://doi.org/10.5194/nhess-24-3207-2024,https://doi.org/10.5194/nhess-24-3207-2024, 2024
Short summary
Temporal clustering of precipitation for detection of potential landslides
Fabiola Banfi, Emanuele Bevacqua, Pauline Rivoire, Sérgio C. Oliveira, Joaquim G. Pinto, Alexandre M. Ramos, and Carlo De Michele
Nat. Hazards Earth Syst. Sci., 24, 2689–2704, https://doi.org/10.5194/nhess-24-2689-2024,https://doi.org/10.5194/nhess-24-2689-2024, 2024
Short summary
Shallow-landslide stability evaluation in loess areas according to the Revised Infinite Slope Model: a case study of the 7.25 Tianshui sliding-flow landslide events of 2013 in the southwest of the Loess Plateau, China
Jianqi Zhuang, Jianbing Peng, Chenhui Du, Yi Zhu, and Jiaxu Kong
Nat. Hazards Earth Syst. Sci., 24, 2615–2631, https://doi.org/10.5194/nhess-24-2615-2024,https://doi.org/10.5194/nhess-24-2615-2024, 2024
Short summary

Cited articles

Agliardi, F. and Crosta, G. B.: High resolution three-dimensional numerical modelling of rockfalls, Int. J. Rock Mech. Min., 40, 455–471, https://doi.org/10.1016/S1365-1609(03)00021-2, 2003. a
Baldo, M., Bicocchi, C., Chiocchini, U., Giordan, D., and Lollino, G.: LIDAR monitoring of mass wasting processes: The Radicofani landslide, Province of Siena, Central Italy, Geomorphology, 105, 193–201, https://doi.org/10.1016/j.geomorph.2008.09.015, 2009. a
Boccardo, P., Chiabrando, F., Dutto, F., Tonolo, F., and Lingua, A.: UAV Deployment Exercise for Mapping Purposes: Evaluation of Emergency Response Applications, Sensors, 15, 15717–15737, https://doi.org/10.3390/s150715717, 2015. a, b
Budetta, P.: Assessment of rockfall risk along roads, Nat. Hazards Earth Syst. Sci., 4, 71–81, https://doi.org/10.5194/nhess-4-71-2004, 2004. a
Cacciuni, A., Centamore, E., Di Stefano, R., and Dramis, F.: Evoluzione morfotettonica della conca di Amatrice, Studi Geologici Camerti, spec 1995/2, 95–100, 1995. a
Download
Short summary
The paper discusses the use of rockfall modelling software and photogrammetry applied to images acquired by RPAS to provide support to civil protection agencies during emergency response. The paper focuses on a procedure that was applied to define the residual rockfall risk for a road that was hit by an earthquake-triggered rockfall that occurred during the seismic sequence that hit central Italy on 24 August 2016. Road reopening conditions were decided based on the results of this study.
Altmetrics
Final-revised paper
Preprint